A trait-based framework linking the soil metabolome to plant–soil feedbacks

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A trait-based framework linking the soil metabolome to plant–soil feedbacks. / Delory, Benjamin M.; Callaway, Ragan M.; Semchenko, Marina.
In: New Phytologist, Vol. 241, No. 5, 03.2024, p. 1910-1921.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Delory BM, Callaway RM, Semchenko M. A trait-based framework linking the soil metabolome to plant–soil feedbacks. New Phytologist. 2024 Mar;241(5):1910-1921. Epub 2023 Dec 20. doi: 10.1111/nph.19490

Bibtex

@article{9bce25d948c24f37bed4ab54e463d05e,
title = "A trait-based framework linking the soil metabolome to plant–soil feedbacks",
abstract = "By modifying the biotic and abiotic properties of the soil, plants create soil legacies that can affect vegetation dynamics through plant–soil feedbacks (PSF). PSF are generally attributed to reciprocal effects of plants and soil biota, but these interactions can also drive changes in the identity, diversity and abundance of soil metabolites, leading to more or less persistent soil chemical legacies whose role in mediating PSF has rarely been considered. These chemical legacies may interact with microbial or nutrient legacies to affect species coexistence. Given the ecological importance of chemical interactions between plants and other organisms, a better understanding of soil chemical legacies is needed in community ecology. In this Viewpoint, we aim to: highlight the importance of belowground chemical interactions for PSF; define and integrate soil chemical legacies into PSF research by clarifying how the soil metabolome can contribute to PSF; discuss how functional traits can help predict these plant–soil interactions; propose an experimental approach to quantify plant responses to the soil solution metabolome; and describe a testable framework relying on root economics and seed dispersal traits to predict how plant species affect the soil metabolome and how they could respond to soil chemical legacies.",
keywords = "allelopathy, belowground interactions, functional traits, litter decomposition, plant–soil feedback, root exudates, seed dispersal, Biology, Ecosystems Research",
author = "Delory, {Benjamin M.} and Callaway, {Ragan M.} and Marina Semchenko",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors. New Phytologist {\textcopyright} 2023 New Phytologist Foundation.",
year = "2024",
month = mar,
doi = "10.1111/nph.19490",
language = "English",
volume = "241",
pages = "1910--1921",
journal = "New Phytologist",
issn = "0028-646X",
publisher = "JSTOR",
number = "5",

}

RIS

TY - JOUR

T1 - A trait-based framework linking the soil metabolome to plant–soil feedbacks

AU - Delory, Benjamin M.

AU - Callaway, Ragan M.

AU - Semchenko, Marina

N1 - Publisher Copyright: © 2023 The Authors. New Phytologist © 2023 New Phytologist Foundation.

PY - 2024/3

Y1 - 2024/3

N2 - By modifying the biotic and abiotic properties of the soil, plants create soil legacies that can affect vegetation dynamics through plant–soil feedbacks (PSF). PSF are generally attributed to reciprocal effects of plants and soil biota, but these interactions can also drive changes in the identity, diversity and abundance of soil metabolites, leading to more or less persistent soil chemical legacies whose role in mediating PSF has rarely been considered. These chemical legacies may interact with microbial or nutrient legacies to affect species coexistence. Given the ecological importance of chemical interactions between plants and other organisms, a better understanding of soil chemical legacies is needed in community ecology. In this Viewpoint, we aim to: highlight the importance of belowground chemical interactions for PSF; define and integrate soil chemical legacies into PSF research by clarifying how the soil metabolome can contribute to PSF; discuss how functional traits can help predict these plant–soil interactions; propose an experimental approach to quantify plant responses to the soil solution metabolome; and describe a testable framework relying on root economics and seed dispersal traits to predict how plant species affect the soil metabolome and how they could respond to soil chemical legacies.

AB - By modifying the biotic and abiotic properties of the soil, plants create soil legacies that can affect vegetation dynamics through plant–soil feedbacks (PSF). PSF are generally attributed to reciprocal effects of plants and soil biota, but these interactions can also drive changes in the identity, diversity and abundance of soil metabolites, leading to more or less persistent soil chemical legacies whose role in mediating PSF has rarely been considered. These chemical legacies may interact with microbial or nutrient legacies to affect species coexistence. Given the ecological importance of chemical interactions between plants and other organisms, a better understanding of soil chemical legacies is needed in community ecology. In this Viewpoint, we aim to: highlight the importance of belowground chemical interactions for PSF; define and integrate soil chemical legacies into PSF research by clarifying how the soil metabolome can contribute to PSF; discuss how functional traits can help predict these plant–soil interactions; propose an experimental approach to quantify plant responses to the soil solution metabolome; and describe a testable framework relying on root economics and seed dispersal traits to predict how plant species affect the soil metabolome and how they could respond to soil chemical legacies.

KW - allelopathy

KW - belowground interactions

KW - functional traits

KW - litter decomposition

KW - plant–soil feedback

KW - root exudates

KW - seed dispersal

KW - Biology

KW - Ecosystems Research

UR - http://www.scopus.com/inward/record.url?scp=85180233208&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6b7d00c5-cf6c-38b0-8079-51c956f97766/

U2 - 10.1111/nph.19490

DO - 10.1111/nph.19490

M3 - Journal articles

C2 - 38124274

AN - SCOPUS:85180233208

VL - 241

SP - 1910

EP - 1921

JO - New Phytologist

JF - New Phytologist

SN - 0028-646X

IS - 5

ER -

DOI